Prior to this experience, I had smoked pot twice without getting high. I was eager to learn how it felt to be stoned, and although I had made an approximation of how I would feel, I wanted the genuine article.
It is August of 2004. I went to my friend Kevin's house. I was anticipating some reefer, for Kevin is a very frequent smoker. Well, at about 4:00, we went to Kevin's friend Evan's house. Evan answered his door, greeted us, and we went to his basement. e all smoked a cigarette. I felt the mellowness curb my appetite for some pot, but still, it remained. Evan's friend Justin comes downstairs and packs a bowl.
About 7 bowls later, I don't feel high. I was disappointed, thinking I was immune to the effects or something. I was sitting on the floor, and as I rose to make my way to the couch, I was hit with a massive head rush. My reality was crumbling, and I experienced a second or two of sheer panic, which quickly subsided into a mellow bliss. Despite this, it took me a few moments to realize that I was STONED. I grinned, and the smile would not leave my mouth.
After watching some Family Guy and bidding Evan goodbye, we left for Kevin's. I was astounded. My thought process was completely overtaken by a desire for a cigarette. I mentioned this to Kevin, but it took a few tries to get the message across due to my incoherency. We turned and walked down a lightly forested trail. I was amazed. The trees appeared to pop out as if I was watching Imax with 3-D glasses. I turned to Kevin. 'Dude,' I exclaimed, 'This is like being in a fairy tale!' He laughed and told me to take it easy. We arrived at a gazaebo, where we smoked a few cigarettes. They tasted amazing, like caramel corn. We arrived home, and Kevin's mom had prepared some tuna casserole, the Hamburger Helper variety. I loaded up my plate, only realizing my hunger as my eyes settled on the giant pan of food before me. I took a bite. It was orgasmic, and I ate fast, consuming a plate of steaming hot casserole in what felt like seconds.
After awhile of watching Saturday Night Live with Kevin's mom, it was time to go home. No one was home, and I celebrated this turning point in my life with some instrumental music. Sound flowed majestically into my ears. I felt the onset of fatigue, and laid down on my bed. As my eyes closed, I began to actually grow tired of the buzz.  I was unsettled, but fell asleep anyways.
I am now a frequent smoker, and love ganja. I no longer grow tired of the buzz.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Defining the command function
The documentation shows a very basic example of what a command is: when the user executes foo
, console.log('foo was executed');
. However, there's two parameters that Clapp passes back to your command:
argv
contains the arguments and flags, andcontext
contains your own information. See "working-with-contexts" for further info about contexts.
The argv
object
The argv
object contains two children:
argv.args
, andargv.flags
.
Both objects contain children objects with your data. So if you define the following flag:
var flag = {
name: 'limit',
desc: 'The number of items that will be shown. Can\'t be higher than 50',
type: 'number',
alias: 'l',
default: 10
}
And the user runs:
app.parseInput('/testapp foo -l 25');
Then you get:
// Command function
function(argv, context) {
console.log(argv.flags.limit); // 25
}
If the user ran:
app.parseInput('/testapp foo');
Then you'd get:
// Command function
function(argv, context) {
console.log(argv.flags.limit); // 10, because it's the default value.
}
Returning a message
Generally, you want to return a message to the user with the feedback about the operation they just did. In your command function, you can return
a string that will be redirected to your onReply
function, using the same context that was passed into your command function. For instance:
// Command function
function(argv, context) {
if (argv.flags.limit < 50) {
doTheThing();
return 'Operation successful!';
} else {
return 'The limit can\'t be higher than 50, sorry!';
}
}
If you don't want to send a message, just return something that is not string
or don't return nothing at all.


--- title: "Feature Effects in Machine Learning Models" author: "Bodo Burger" date: '2019-04-06' output: blogdown::html_page: toc: yes number_sections: false links: - icon: github icon_pack: fab name: R package source url: https://github.com/BodoBurger/intame image: caption: null focal_point: Smart summary: I estimate interval-based feature effects in supervised learning models to improve interpretability of black box models. tags: - Interpretable ML - Machine Learning - r-stats bibliography: - references.bib - packages.bib url_code: '' url_pdf: '' url_slides: '' url_video: '' ---
Supervised machine learning models are mostly black boxes. The method I propose in my Master’s thesis tries to improve understanding of these black boxes. The goal is to find a way to quantify effect sizes of features. Average marginal effects are used in social sciences to determine effect sizes of logistic regression models. Applying this method to a machine learning model usually does not adequately represent the non-convex, non-monotonic response function. There are graphical methods like partial dependence plots or accumulated local effect plots that visualize the response functions but do not offer a quantitative interpretation. First, we use one of the latter methods to identify intervals within the response function is relatively stable. Second, we report some estimate of the feature effect separately for each interval. Our method determines the number of necessary intervals automatically.
The following examples shows
how the method can help to understand heterogeneous feature effects.
We apply the method to the Bike Sharing dataset (Fanaee-T and Gama 2013)
which was further processed by Molnar (2018).
See table 1 for an overview of all the features.
The target cnt
is the number of bicycles
lent by a bicycle sharing company per day.
The features comprise calendrical and meteorological information for each day.
| season | yr | mnth | holiday | weekday | weathersit | temp | hum | windspeed | cnt | days_since_2011 |
|---|---|---|---|---|---|---|---|---|---|---|
| SPRING | 2011 | JAN | 0 | SAT | MISTY | 8.18 | 80.6 | 10.8 | 985 | 0 |
| SPRING | 2011 | JAN | 0 | SUN | MISTY | 9.08 | 69.6 | 16.7 | 801 | 1 |
| SPRING | 2011 | JAN | 0 | MON | GOOD | 1.23 | 43.7 | 16.6 | 1349 | 2 |
| SPRING | 2011 | JAN | 0 | TUE | GOOD | 1.40 | 59.0 | 10.7 | 1562 | 3 |
| SPRING | 2011 | JAN | 0 | WED | GOOD | 2.67 | 43.7 | 12.5 | 1600 | 4 |
| SPRING | 2011 | JAN | 0 | THU | GOOD | 1.60 | 51.8 | 6.0 | 1606 | 5 |
We use a linear model (R Core Team 2019), an SVM (Meyer et al. 2019), a random decision forest (Breiman et al. 2018) and gradient boosting (Greenwell et al. 2019). We compare the performance of all models and the performance of predicting the mean for each observation on a hold-out test set (see table 2). The linear model performs relatively well but we can improve by using a more complex machine learning model even without extensive tuning.
| mean(y) | lm | svm | rf | gbm | |
|---|---|---|---|---|---|
| mse | 3.75e+06 | 5.30e+05 | 4.33e+05 | 4.22e+05 | 4.12e+05 |
| rmsle | 5.93e-01 | 2.36e-01 | 2.44e-01 | 2.61e-01 | 2.30e-01 |
| rsq | 0.00e+00 | 8.59e-01 | 8.85e-01 | 8.88e-01 | 8.90e-01 |
Now analyse how changing feature values influences
the predicted number of bikes.
We focus on the three numerical features temp
(temperature in degree Celsius),
hum
(humidity in percent) and windspeed
(in kilometers per hour).
We apply our method to each of the complex models with default settings.
The output in R
looks as follows:
## lm:
## temp hum windspeed
## 98.2 -13.7 -40.1
## SVM (temp)
## [-5.221, 19.26) [19.26, 32.498]
## 128.11 3.87
## SVM (hum)
## [18.792, 56.792) [56.792, 93.957]
## 7.19 -32.71
## SVM (windspeed)
## [2.834, 14.876) [14.876, 34]
## -22.7 -64.7
## RF (temp)
## [-5.221, 20.278) [20.278, 32.498]
## 104.5 -62.7
## RF (hum)
## [18.792, 64.667) [64.667, 93.957]
## -1.18 -31.97
## RF (windspeed)
## [2.834, 18.417) [18.417, 24.251) [24.251, 34]
## -16.46 -78.30 -1.64
## GBM (temp)
## [-5.221, 16.792) [16.792, 26.075) [26.075, 32.498]
## 124.2 13.9 -239.7
## GBM (hum)
## [18.792, 64.667) [64.667, 83.792) [83.792, 87.25) [87.25, 93.957]
## -3.86 -39.63 -227.00 91.19
## GBM (windspeed)
## [2.834, 8.584) [8.584, 22.959) [22.959, 24.251) [24.251, 34]
## -5.32e+01 -1.85e+01 -5.04e+02 6.60e-14
The marginal effect of the linear model is equal to the model coefficients. So according to the model an increase of the temperature by 1° Celsius leads to a predicted increase of \(98.188\). rented bicycles per day. This seems plausible for an average day. The higher the temperature the more people are willing to go by bike. But one could easily imagine that a temperature rise on a hot day will make people less likely rent a bike to avoid physical exertion. This is exactly what the results of the complex models suggest. Below 20° the SVM predicts an increase of \(128.106\) bikes per day for an additional degree Celsius. Above 20° the effect becomes negative and very small \((3.867)\). The results of the random forest show two cutoff points. At around 13° the positive marginal effect becomes smaller in size and above 25° the effect is negative. The effect for gradient boosting is partitioned into four intervals. The effect of the three intervals below 27° are positive, above 27° it is negative, similarly to the results of the other two models. However, the absolute values of the effect fluctuate substantially for gradient boosting.
For humidity the linear model predicts a negative effect. For the SVM the effect is positive up to around 43%. Between 43% and 65% the effect is negative but smaller in size. Above 65% it is negative and four times bigger than in the previous interval. The results for the random forest and gradient boosting both show very small effects below roughly 65% humidity. Above this point both models predict a decrease of rented bicycles with rising humidity. The histogram (figure 1) explains why the effect for humidity is probably non-monotonic. Humidity usually is between 50% to 75%. Values outside this range indicate more extreme weather conditions. If uncommonly dry or wet air reduces people’s desire to ride a bike we will expect a positive effect on the number of rented bikes if humidity is below the familiar range, and a negative effect if it is above.
Wind makes cycling less attractive, so one associates higher wind speed with a reduced willingness to rent a bike. The linear model predicts a negative effect (\(-40.149\)). For both SVM and random forest our method proposes a negative effect that is constant over the whole feature distribution. Consequently, in the case of wind speed a linear model seems to be appropriate to represent the relationship. Gradient boosting shows a negative effect for five intervals, the reported values are not very stable, again.
In this exemplary application we showed that the linear model does not suffice to represent the varying response function types. A user may come to wrong conclusions about the number of rented bikes depending on the weather conditions of the day. The proposed method enables the user to make quantitative statements as if he was using a linear model while preserving the non-linear, non-monotonic relationship where necessary. Thus, he can combine a better performing model with a comprehensible interpretation. The results for the gradient boosting model are less convincing. Due to the stepped response function the model is less appropriate for making quantitative statements about the feature effect. The estimates fluctuate between high values and values close to zero.
The method is implemented in R supporting a variety of models out of the box. Source code and more information can be found on GitHub: https://github.com/BodoBurger/intame
Breiman, Leo, Adele Cutler, Andy Liaw, and Matthew Wiener. 2018. RandomForest: Breiman and Cutler’s Random Forests for Classification and Regression. https://CRAN.R-project.org/package=randomForest.
Fanaee-T, Hadi, and Joao Gama. 2013. “Event Labeling Combining Ensemble Detectors and Background Knowledge.” Progress in Artificial Intelligence. Springer Berlin Heidelberg, 1–15. https://doi.org/10.1007/s13748-013-0040-3.
Greenwell, Brandon, Bradley Boehmke, Jay Cunningham, and GBM Developers. 2019. Gbm: Generalized Boosted Regression Models. https://CRAN.R-project.org/package=gbm.
Meyer, David, Evgenia Dimitriadou, Kurt Hornik, Andreas Weingessel, and Friedrich Leisch. 2019. E1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), Tu Wien. https://CRAN.R-project.org/package=e1071.
Molnar, Christoph. 2018. Interpretable Machine Learning - a Guide for Making Black Box Models Explainable. Creative Commons. https://christophm.github.io/interpretable-ml-book/.
R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.


This is the help page where you can get a better understanding of what Edith really is and what you can do.
What is Edith?
Edith is an online program that allows you to code your own two dimensional story. You can create an object for your story, code some animations for it, and watch it go!
Let's try it!
We can start off by creating an object of our own! Just click the button on the top of the page that says "Make Object"
Great! A window should come up that looks a lot like below. Now make an object! I already made one for us to use, but if you need help on how to make an object, click the "Need Help?" button on that page.
Now back on the main page, if you click the load button on the top of the page, and type in the name of the object you just created, it will load your object into the object viewer on the bottom of the screen! Then if you double click the object, and enter a position, it will appear on the screen!
Now you're ready to code! On the right side of the screen is your coding area. The blue boxes are categories, and the orange boxes are coding boxes. You can drag the orange boxes over the red line to put them in your code. All code must go inside of the "main()" function. If you need more space, you can always drag boxes around to resize, and if you want to delete boxes, you can drag it back over the red line.
Below I have coded a simple jump. I dragged over the "method" box and called my method "jump", but didn't enter any parameters. Then went to the "predefined" category and dragged over the "jump" box while having my stick figure selected. (To select a stick figure, just click them, they will glow to show that they are active) I also was prompted to enter the duration and height of the jump. Finally, I went back to the "method" category and dragged over the "end" box to end my method. And just like that, I have a simple method to make my stick figure jump!
Just press play and get ready to see your creation in action!
Now try it for yourself!!


Minesweeper
Game
Best scores
Configuration
Help
Commands:
Left click to discover a cell
Right click to flag a cell
New game:
click on the timer


Spring Respberry Documentation.
This project combine Spring Framework (several components like MVC , Boot, Security, WebSocket, ...), Thymeleaf and PI4J to generate, configure and control a Raspberry using Web GUI.
This project combine Spring Framework (several components like MVC , Boot, Security, WebSocket, ...), Thymeleaf and PI4J to generate, configure and control a Raspberry using Web GUI.


patients []. COVID- clinical CRS cells IL- severe cell treatment immune respiratory {border-style cytokine px;} #ffffff;} therapy (â€") including syndrome tocilizumab associated inflammatory use Med currently virus /â€" acute described disease IRIS [], administration days infection receptor therapies trials viral (.â€".) (â€".) Cell Engl Table cellular data phase potential safety study COVID-. SARS-CoV- Society allogeneic antiviral coronavirus high hospitalized human hyperimmune information levels lung novel px; related studies therapeutic {font-family HLH However, MSC MSCs activity approved cells, conditions dose efficacy features font-size plasma release research response responses sHLH and/or day double; drugs hematopoietic hosts mortality provide severity stem trial used vitro (nÂ April CAR-T Elsevier Gene Grade Requiring T-cell Temperature Therapy [published activation adverse ahead antibody blood border-color border-width cells. combination convalescent criteria elevated evaluation given higher hyperinflammatory important increase infected limited nasal observed online pandemic patient range recently role serum solid; specific syndromes treatments vesicles virus, virus-specific viruses {font-style {font-weight â‰¥Â°C â€" Clinical Currently, IL-, IRIS. Immunol International MERS Moreover, SARS-CoV Tocilizumab [,]. adult adults anakinra available based bold bone care centre cohort common courier; critically current dampen develop distress em; evaluating events failure grading increased influenza inhibitors laboratory likely mild moderate monoclonal multiple oxygen pathogenesis patients, patients. placebo potentially present print pt;} public randomized reconstitution remains requiring resource responsible rheumatoid signaling soluble storm support supportive therefore, time tissue treated type


Tic-Tac-Toe Teacher
Game Board
Simulator
Presets
Code Reference
loading...
Reset Game
Save and Reload Code
Robot plays first
Robot plays second
Save and Run Simulators
Running Simulators, please wait...
Going First
Robot
Win %
Lose %
Tie %
Going Second
Robot
Win %
Lose %
Tie %
0
games played
Presets


>>
<<
Usr
Pri
JfC
LJ
Phr
Dic
Voc
!:
Help
Primer
Box - monad <
So far you have dealt with atoms that are either numeric or character. The monad < (box) introduces a new type of atom called boxed. The monad < applies to any noun and returns an atom that is a box which contains the argument.
An array is either a numeric array that contains numbers, or a literal array that contains characters, or a boxed array that contains boxes. Arrays of numbers and characters are referred to as open to distinguish them from boxed arrays.
b =. < 2 3 4
$b NB. an atom has empty shape
A boxed array is displayed in a box.
b
+-----+
|2 3 4|
+-----+
c =. < 4 7 9
d =. b , c NB. append
d
+-----+-----+
|2 3 4|4 7 9|
+-----+-----+
$d NB. list with shape 2
2
(< 2 3 4) , < 4 7 9
+-----+-----+
|2 3 4|4 7 9|
+-----+-----+
Arrays of different types (numeric, character, and boxed) cannot be appended to one another.
'a' , 3
|domain error
| 'a' ,3
3 , < 2 3 4
|domain error
| 3 ,<2 3 4
Boxed arrays are of the same type and can be appended no matter what they contain.
(< 'abc') , < 4 5 6
+---+-----+
|abc|4 5 6|
+---+-----+
(< 2 3 $ 'abcdef') , (< i. 3 4) , < 23
+---+---------+--+
|abc|0 1 2 3|23|
|def|4 5 6 7| |
| |8 9 10 11| |
+---+---------+--+
>>
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Usr
Pri
JfC
LJ
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Voc
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Primer


Henry Cavill Responds To The Rumours That He’s Done Playing Superman: ‘It’s Still Mine’
by Becca LongmireHenry Cavill discusses all things “Superman” in the latest issue of Men’s Health.
Cavill, who has played the much-loved character three times, says: “The cape is in the closet. It’s still mine.”
He adds of the rumours that his time in the cape is finished: “I’m not going to sit quietly in the dark as all the stuff is going on. I’ve not given up the role.
“There’s a lot I have to give for Superman yet. A lot of storytelling to do. A lot of real, true depths to the honesty of the character I wasn’t to get into.
“I want to reflect the comic books. That’s important to me. There’s a lot of justice to be done for Superman. The status is: You’ll see.”
Cavill also talks about the harsh nickname he was given at boarding school, admitting kids used to call him Fat Cavill.
He shares, “I was a chubby kid. I could’ve very well gone down the route of just accepting my lot in life and being like, ‘I guess I’m not going to do anything.’”
Cavill says acting helped him feel more comfortable in front of others: “It actually helped me survive. Even the kids who were nasty to me at times and took pleasure in squashing me—when I finished a play, they’d say, ‘Wow, you’re really good.’ And I was like, ‘Okay, this is where I draw my strength from.’”


This section covers functionality referring to administrative details
2.2.1 Creating New Class Spreadsheet
2.2.2 Adding A New Category
2.2.3 Modifying A Category
2.2.4 Deleting A Category
2.2.5 Grading Schemes
2.2.6 Late Policy


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THESIS
INTERACTION IN TWO-WAY CLASSIFICATIONS WITHOUT REPLICATION
Submitted by
Dallas Eugene Johnson
In partial fulfillment of the requirements for the Degree of Doctor of Philosophy Colorado State University Fort Collins, Colorado December, 1970


|
Constrained Optimization
Optimization Plugin for UG4
|
#include <string>
#include "options.h"
#include "parameters.h"
#include "../optimizers/newton.h"
#include "../optimizers/pso.h"
#include "efloat.h"
#include "../evaluation_classes/biogas_evaluation.h"
#include "../evaluation_classes/epidemics_evaluation.h"
#include "geometry_sampler.h"
#include <typeinfo>
Go to the source code of this file.
Functions | |
| template<class E , class T > | |
| bool | co::run_newton_gauss (E &evaluator, const EVarManager< T > ¶meters, EVarManager< T > &estimated_parameters, NewtonOptions options) |
| bool | co::RunNewtonGauss_BiogasEval (std::string dir, const EVarManager< EFloat64 > ¶meters, EVarManager< EFloat64 > &estimated_parameters, double alpha) |
| template<class E , class T > | |
| bool | co::run_pso (E &evaluator, const VarDescriptor< T > &var_descriptor, EVarManager< T > &estimated_parameters, PSOOptions options) |
| bool | co::RunPSO_BiogasEval (std::string dir, const VarDescriptor64 &var_descriptor, EVar64Manager &estimated_parameters, int n_particles, int n_groups, int max_iterations) |
Variables | |
| const float | version_number =0.34 |
This file is used if the optimization functions are indirectly called. Indirectly means that the user only passes secondary information like path, options and shell commands instead of directly calling the optimization functions. The only work this file does is configuring the optimizers and reporting the status of the end result. Useful if the optimizers can be selected and configured based on user input.
| bool co::run_newton_gauss | ( | E & | evaluator, |
| const EVarManager< T > & | parameters, | ||
| EVarManager< T > & | estimated_parameters, | ||
| NewtonOptions | options | ||
| ) |
Runs Gauss Newton's algorithm. Only this function has to be called to run the complete procedure.
| [in] | evaluator | Evaluation type used for calculating the function evaluations |
| [in,out] | parameters | Parameters with their respective bounds and initial values |
| [in,out] | estimated_parameters | This will save the estimated parameters of the problem |
| [in] | Options | to configure the Newton-Gauss solver |
| const float version_number =0.34 |
Version number of the project. Higher numbers indicated more up-to-date versions. Contrary to the version counting procedure in e.g. Rust, the version number's digits do not give an indication about the severity of the updates. This means, that version 1.0 does not necessarily amount to significant changes compared to version 0.1.


DISCLOSURE A film review by Jeffrey Graebner Copyright 1994 Jeffrey Graebner
Barry Levinson's big-budget, star-studded film adaptation of Michael Crichton's novel DISCLOSURE has been promoted as a social drama that turns the issue of sexual harassment on its side through the use of a gender reversal. In reality, the harassment issue really is just a plot point in a glossy, high-tech thriller about corporate politics. The resulting film is somewhat short on meaningful social commentary, but it is still a fast-paced and extremely entertaining crowd pleaser.
Michael Douglas stars as Tom Sanders, the head of manufacturing for a fictional computer company called Digicorp. Sanders is up for a major promotion but is passed up in favor of Meredith Johnson (Demi Moore), who coincidentally used to live with Sanders (who is now happily married with children). When Sanders turns down Johnson's attempt at seduction during an after-hours meeting, each accuses the other of sexual harassment. The stakes are raised by the high amounts of money that both Sanders and Johnson stand to make from a planned merger between Digicorp and another company. The merger is in danger of being derailed if Sanders cannot find a reason for major manufacturing problems with Digicorp's new high speed computer CD-ROM, a product that is the major selling point in the merger.
Of course, the big hook in this story is the gender switch of having a man being sexually harassed by a female boss. Even more than in Crichton's novel, screenwriter Paul Attanasio leaves little ambiguity about the harassment scene.  The majority of the film is told directly from Sanders' point-of-view which serves to further underscore the audience's view of him as a victim. This lack of ambiguity hammers home the belief that sexual harassment is likely to originate with either gender, but it doesn't really explore that view with much depth.
As with Crichton's novel, this idea is likely going to surround the film with some controversy. Some may call the film sexist based primarily on the negative portrayal of a female executive and on the simple suggestion that a woman could sexually harass a man. An attempt is made to alleviate these accusations by including several strong, sympathetic women in supporting roles. As in the novel, Sanders hires a female attorney (Roma Maffia of the TV series "Chicago Hope") to represent him in his sexual harassment claim. The film also beefs up the role of Sanders' wife (Caroline Goodall), keeping her actively involved in more of the story. The film also includes a few strong scenes with other female executives at Digicorp, including one particularly effective sequence in which one of Sanders' peers asks him to think about why she wasn't even *considered* as a likely candidate for the promotion.
The sexual harassment case is actually dispensed with surprisingly early in the film, revealing that is was just a small component in a more complicated story of corporate politics. The latter half of the film essentially turns into a high-tech detective story as Sanders struggles to learn Johnson's true motivations in order to hang on to his job. This is actually the most interesting aspect of the film. Director Barry Levinson keeps this part of the film moving at a very rapid pace and most of the plot details are revealed in a logical and believable manner.
Michael Douglas is good in the role of Tom Sanders, although he isn't really required to stretch much as an actor. This role is essentially another variation on the characters that he played in FATAL ATTRACTION and BASIC INSTINCT. Crichton has a bit of a tendency in his novels to seemingly describe the actor that he is thinking of for the lead roles. Reading the novel, it is *very* easy to picture Douglas as Tom Sanders.
On the other hand, Demi Moore is probably *not* the first person that most people would imagine in the role of Meredith Johnson. Her past roles have never really showed the ruthless edge that the character calls for. Moore shows some surprising versatility in this role and manages to play the role quite convincingly. Unfortunately, Attanasio's script draws the character somewhat two-dimensionally. In an effort to streamline the story, the film eliminates a couple subplots from the novel that served to make Johnson's motivations clearer. In the film, she ends up seeming more incompetent while in the book she seemed much more in control. The fact that the character works at all is very much due to the strength of Moore's acting.
The streamlining of the script also reduces the significance of Bob Garvin (Donald Sutherland), Digicorp's CEO. The film constantly keeps the audience in the dark about his motivations and about how much he is aware of what is going on. Sutherland does the best he can, but the role turns out to be rather thankless. Some of the other supporting roles are more interesting. Particularly strong performances are given by Roma Maffia as the lawyer, Caroline Goodall as Sanders' wife, Dennis Miller (in a semi-serious role) and Nicholas Sadler as techies on Sanders' staff.
As is usually the case in Michael Crichton's stories, technology ends up playing a major role in DISCLOSURE. Characters are constantly using computers to communicate or gather information. Electronic mail and computer-based video conferencing are major forms of communication in Digicorp. One of the film's highlights is a big climactic scene involving a virtual-reality based filing system. This sequence features some very impressive computer graphics effects created by Industrial Light and Magic. While some of the technology is a bit futuristic (particularly the Virtual Reality sequence) to be commonplace in today's business, nothing is shown that is entirely beyond the capabilities of today. The various computer interfaces shown do tend to be more photogenic than practical.
While Attanasio's screenplay does muddy some of the motivations behind the story, it is still a generally effective adaptation. He streamlined Crichton's story by eliminating a few unnecessary characters and subplots. He also managed to introduce some appreciated touches of humor which were absent from Crichton's generally humorless novel. The writing isn't quite as intelligent as Attanasio's earlier script for QUIZ SHOW, but it still does manage to inject some moments of insight.
After seriously misfiring with TOYS and JIMMY HOLLYWOOD, Levinson is essentially working as a hired hand on this film. The direction is very slick and confident, though, and the film moves along at a very rapid pace. In a departure for a Barry Levinson film, this one is shot in Panavision (by Tony Pierce-Roberts) and the widescreen frame is well used to highlight the impressive sets created for the Digicorp offices as well as some of the high- tech special effects. Ennio Morricone's score is unmemorable but not intrusive.
DISCLOSURE doesn't really succeed as the controversial morality play that is promised in the advertising, but it does work as a very entertaining corporate thriller. The movie isn't nearly as deep as it would like to be, but it does manage to be a lot of fun.
-- Jeffrey P. Graebner Columbus, Ohio
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Goals of Zen
- Helping Dojos
- Empowering children
Core Features
Dojo Listings
Booking System
Badging
Recent Improvements
Redesign
Security
Badge evidence
Growth
- 16k users
- 1.5k Dojos
- 1.5k users with badges
- 2.2k badges
Planned in near Future
Start a Dojo
My Dojos Page
Booking Enhancements
- Improve registration flow
- Add children on the fly
- Clarify language used
Ticketing Admin Redesign
- Follows same style as user admin
- Clear separation of approved/unapproved applications
- Bulk management of applications
Bulk Management of Users
Reliability
- Testing...
- Testing...
- ... and more testing!
Projects
Kata
Dashboards
Regional bodies
Everything else
- Quick urls for Dojos/profiles
- Real profile page visibility
- Custom content for Dojo notification
- Custom questions for event booking
- Search a Dojo, a real one
- Social integrations
- Contributors page/headlight
- Better check-in
- (Eventbrite integration)
- And more ...
How you can help
Feedback
Feedback
Feedback
- If you see an issue, report it
- If you have a suggestion, tell us
- Discuss on the forums
dojo.soy/zen2016
- Create a GitHub issue
- Email us -<EMAIL_ADDRESS>Contribute
- College projects
- Hackathons
- Sushi Cards
- Tools
- Anything!
We want to build
a platform you love


We ask you to read carefully these Terms of Service (hereinafter, the “TOS”) applicable to your use of the online services, defined below in Clause 2.1 hereof (hereinafter, the “Services"), provided by NGS Pipeline Inc., a US company registered at 900 Wilshire Drive, STE 202-45, Troy, MI, 48084, registration number [NUMBER], (hereinafter, "NGS Pipeline", “we” or “us”) at www.ngspipeline.com website and its relevant subdomains (hereinafter, the “Website”). These TOS and any other policies available on the Website, referenced by or referencing these TOS, shall jointly constitute, as added, amended, modified, supplemented or restated from time to time, a binding agreement between you and NGS Pipeline applicable to your use of the Website and the Services (hereinafter, the “Agreement”).
1.1. This Agreement shall enter into force as of the moment you first access the Website or commence use of any of the Services. By accessing, browsing or using the Website and/or any of the Services you irrevocably and unconditionally accept and adhere to these TOS and confirm that you agree to be bound by this Agreement without any exemptions, limitations and exclusions, and any and all provisions of this Agreement shall be enforceable to the fullest extent against you. If you access the Website or use any of the Services on behalf of a business (whether registered or operating without registration), that business hereby accepts the terms of this Agreement. It will hold harmless and indemnify NGS Pipeline from any claim, suit or action arising from or related to the use of the Website and Services or violation of the Agreement, including any liability or expense arising from claims, losses, damages, suits, judgments, litigation costs and attorneys’ fees.
1.2. In the event you disagree with any provision hereof and would not like to be bound by this Agreement, you shall cease use of the Website and the Services immediately.
1.3. NGS Pipeline shall be entitled to modify and amend any parts of this Agreement at its sole discretion without any prior notice to you. These modifications and amendments may be due to the changes on the Website, in the Services or in order to ensure compliance with legal requirements or for any other reasons. The modifications and amendments will become effective as of the moment they are available on this webpage, unless otherwise expressly specified therein. We encourage you to check this webpage regularly to ensure you are familiar with the current version.
2.1. Under this Agreement, NGS Pipeline provides its customers with the following online services:
2.2. Each of the Pipelines is a bundled combination of proprietary software that has been developed by NGS Pipeline Inc. with a large number of third-party open-source software products launched in particular order and manner, with specific parameters optimized for cluster environment.
2.3. For experienced users, we offer an advanced option to add their own fully customized Pipelines to our system. Addition of each of such Pipelines is considered as a separate consulting project that is priced and negotiated with the customer on a case-by-case basis and is subject to a separate contract agreement.
2.4. As a part of its business, NGS Pipeline provides its users with access to certain materials available on the Website (hereinafter, the "Materials") that comprise both public domain data (the “Public Materials”) and our proprietary and custom content (the “Private Materials”). Both Private and Public Materials are provided with the main purpose to guide you through the functionality of our website (as they consist of sample genomic and annotation data, guides, articles, images, notes, user experience tours etc.)
3.1. You confirm and acknowledge that you are of sufficient age to access this Website and use the Services in accordance with the laws of your country of residence or any other applicable legal requirements.
3.2. This Website uses cookies and may store your private information. By using this Website and/or its Services, you provide your express and unconditional consent that your private information may be collected and used by us in accordance with the terms of the Privacy Policy of NGS Pipeline.
4.1.1. Access to certain areas of this Website is restricted and requires user registration. Upon your registration on our Website, you will have a User ID and password, permitting you to access the Services and Materials.
4.1.2. It is your responsibility to keep your user credentials confidential. You agree and are obliged not to share your User ID with anyone else. We can occasionally monitor your user authentication activity and may prohibit simultaneous user sessions with the same user account data from multiple locations/devices. We may suspend your access to our Services and Materials in case of regular infringement of this policy without any prior notice or explanation.
4.1.3. You also agree to fully and accurately provide the information requested by us when setting up your account and to regularly update such information. Your failure to do so may result in the suspension or cancellation of your account and loss of access to the Services and Materials. In particular, we highly recommend you to keep the email data in your user account at our Website up-to-date, as you will need this data to restore your password in case you forget it.
4.2.1. In these TOS, by user content (hereinafter, the “Content” or the “User Content”) we mean the data files that you submit to our Website to be subsequently processed at your discretion in any of our Pipelines and/or stored in your private file storage on our servers. Acceptable usage of NGS Pipeline’s Services assumes that your User Content is not illegal or unlawful in any way, does not infringe any third party’s legal rights and is not capable of giving rise to legal action against you, NGS Pipeline or any third party.
4.2.2. NGS Pipeline reserves the right to remove any User Content submitted to our Website, or stored on our servers. Furthermore, you must acknowledge that we also may access and monitor the submitted User Content from time to time at our discretion, with the sole purpose of providing better data services to our customers. We do not monitor all User Content submitted to our Website by our customers and don’t assume any responsibility for compliance of this Content with any applicable law.
4.2.3. Please also note that the intended use of our Services and Materials assumes frequent uploading and downloading large files (more than 1-2 Gb) to and from our website. In order to use our Services and Materials in an efficient manner, it is your responsibility to obtain high-quality Internet access and all equipment necessary to make such Internet connection.
4.3.1. You must acknowledge and agree that the form and nature of the Services provided by NGS Pipeline may change from time to time without any prior notice to you. You acknowledge and agree that we may stop providing some Services (or any features within the Services) to our clients at our sole discretion. You may stop using the Services of NGS Pipeline at any time.
4.3.2. Access to paid Pipelines and Additional Features is further regulated by General Terms and Conditions and Price Schedule and Supplemental Terms that together form a Subscription Agreement.
4.4.1. You have an option to order a custom project from us to implement your data processing pipelines within the interface of our Website. In order to do it, you have to send a request for proposal through a form on our Website or to<EMAIL_ADDRESS>that will specify the details about your pipeline and the algorithms it uses (description of the input and output data, software used and its parameters, performance requirements etc.)
4.4.2. After we analyze this information (it usually takes 1-3 business days), we will get back to you with a preliminary offer that will contain an estimate of implementation time and cost. Afterwards, if you are interested in this offer, our further collaboration will be negotiated in the form of a separate and binding contract that will describe all your technical requirements in more detail. From our experience, such projects take 1-2 weeks on average.
4.4.3. You must acknowledge and agree that, although we do it extremely rarely in practice, we reserve the right to withdraw our consent to implement a custom pipeline project for you in case of special circumstances. The factors that may influence our decision to do it are as follows:
5.1. As a condition of your use of our Website, you warrant to NGS Pipeline that you will not use our Services and Materials for any purpose that is prohibited by this Agreement and that may cause damage to our Website or impairment of its availability. You explicitly agree that you will not use the Website, Services or Materials in the following ways, including but not limited to:
5.2. You acknowledge and agree that you are solely responsible for any breach of your obligations under the TOS and for the consequences of any such breach. If you violate the TOS, or if NGS Pipeline has a reasonable ground to suspect that you have violated the TOS, we have the right to suspend or terminate your account and refuse any current or future use of the Services and Materials.
6.1. Subject to this Agreement, NGS Pipeline hereby grants you a limited, revocable, non-transferable and non-exclusive license to use the Services and Materials to the extent, and only to the extent, necessary to access and use them in accordance with this Agreement.
6.2. We do not hold ownership of the Public Materials (such as sample datasets, reference genomes, gene annotations etc.) in any way, so the reuse and redistribution of these materials is governed by the rules and terms imposed by their owner/creator. The Private Materials (such as articles, guides, informational texts, design and layout, graphics etc.) have been created or acquired by NGS Pipeline and should not be redistributed or reused without explicit and prior consent from our side.
6.3. The aforementioned license does not permit you to copy, reproduce, modify, distribute, transfer, display, reverse engineer or otherwise use our Services and Materials in any way other than as specifically permitted in this Agreement. Downloading, copying or printing individual pages and/or parts of this Website is allowed for personal use only, and will not transfer title to any software or material on this Website to you. Explicit attribution to NGS Pipeline must be made in the event that any material on this Website, or any part thereof, is reproduced in any form, written or electronic. Furthermore, any reproduction, re-publication or distribution of any material on this Website requires the express consent of NGS Pipeline.
6.4. You also acknowledge and agree that under the terms of this Agreement you may not in any manner commercially exploit the Services and Private Materials (sell, rent, sub-license etc.), in whole or in part, in a way other than as expressly permitted in this Agreement.
7.1. You hereby agree to indemnify, hold harmless and defend NGS Pipeline and its officers, directors, employees, agents, affiliates and subsidiaries (collectively, the "Indemnified Parties") from and against any losses, damages, costs, liabilities and expenses (including but not limited to attorneys’ fees), incurred or made against the Indemnified Parties in connection with any claim arising from or related to (i) your use of the Services and Materials of our Website, or (ii) your Content. This includes, but is not limited to, any breach or violation of this Agreement by you or anyone utilizing your account.
8.1. The information on this Website is provided on “as is” and “as available” basis. NGS Pipeline expressly disclaims, to the fullest extent permitted by applicable law and/or regulation, any express or implied warranties with regard to the accuracy, timeliness, suitability, completeness or availability of the information on this Website. Also, NGS Pipeline explicitly makes no warranty that the access to this Website will be uninterrupted, timely and error-free and that the services provided will meet your requirements and expectations.
8.2. You acknowledge and agree that our Services might contain errors, either in our proprietary software or in third-party software packages used by us. As the software is updated and technology evolves, we are constantly upgrading our system to provide the best possible user experience for our customers.
8.3. Under no circumstances shall NGS Pipeline be liable to anyone for any damages arising in tort, contract, strict liability or otherwise from access to or use of or inability to access or use this Website, or from any action taken or not taken as a result, regardless of whether these damages are direct, indirect, special, incidental or consequential of any character, including lost profits, loss of contracts or business relationships, loss of reputation or goodwill, loss or corruption of information or data or any other tangible or intangible losses. These limitations of liability apply even if NGS Pipeline has been expressly advised of the potential losses.
8.4. As a corporation, NGS Pipeline has an interest in limiting the personal liability of its officers and employees. You agree that you will not bring any claim personally against NGS Pipeline’s officers or employees in respect of any losses you suffer in connection with the Website. You also agree that the limitations of warranties set out in this document will protect our officers and employees as well as NGS Pipeline.
9.1. We may modify, replace, refuse access to, suspend or discontinue any of our Services, partially or entirely, or add, change and modify prices for all or part of the Services for you or for all our users at any time and in our sole discretion.
9.2. NGS Pipeline shall have the right not to proceed with the provision of the Services in case you breach this Agreement. In case of suspension of Services provision due to any reason, we will notify you by sending an email.
10.1. If any provision of this Agreement is determined by any court or other competent authority to be unlawful and/or unenforceable, the other provisions will continue in effect. If any unlawful and/or unenforceable provision would be lawful or enforceable if part of it were deleted, that part will be deemed to be deleted, and the rest of the provision will continue in effect.
11.1. This Agreement and any disputes arising out of it shall be governed by the substantive and procedural laws of the state of Michigan without regard to its rules on conflicts or choice of law and, to the extent applicable, the laws of the United States of America.
12.1. Official notices related to these TOS must be sent to us at:
NGS Pipeline Inc.
ATTN: Chief Executive Officer
900 Wilshire Drive, STE 202-45
Troy, MI 48084
NGS Pipeline Inc. is registered with Michigan Department of Licensing and
Regulatory Affairs.
The registration number is [NUMBER].
EIN of NGS Pipeline Inc. is [NUMBER].
The registered address of NGS Pipeline Inc. is 900 Wilshire Drive, STE 202-45, Troy, MI 48084.


Makes animated text at 20fps. Be careful about high contrast flashing if you're posting results anywhere. Please be considerate.
Just, the shittiest.


An Apple //e Emulator in JavaScript
Disk 1
Load
Save
Disk 2
Load
Save
0KHz
Loading...
CPU
Accelerated CPU
Joystick
Flip X-Axis
Flip Y-Axis
Swap X-Y Axis
Monitor
Green Screen
Show Scanlines
Sound
Enable (Experimental)
Save Name:


There's a drink for every mood or occasion. Discover how to make your favourite cocktail or dare to try something new!
About us
We are just two people who are passionate about great cocktails, classics and more adventurous drinks alike. Feel free to take a look around, we're sure you'll find something to suit your fancy!


Edit
Copy
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Clear
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TinySprite
version 0.4.7
Project:
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MSX 1
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SMS
Saving Method:
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File
Cookie
Copy+Paste
Saving to a file only works on a local install
Grid
Palette
(double-click to edit color)
Preview
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Slots
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Slot 0
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Background:
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all slots
Basic/DATA options:
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Rafael Jannone


#!/usr/bin/python3
# Copyright (c) 2016-2017, henry232323
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
import random
from .client import IRCClient
[docs]class HelperClient(IRCClient):
"""Contains helper functions for common IRC commands, you may either inherit
from HelperClient (which inherits IRCClient,) or you may just call the methods
indirectly with HelperClient.method(client, *args), for example:
MyClient = IRCClient()
HelperClient.msg(MyClient, 'username', 'hi!')
"""
[docs] async def msg(cli, user, msg):
"""Send message `msg` to `user` with PRIVMSG command"""
for line in msg.split('\n'):
await cli.send("PRIVMSG", user, ":%s" % line)
[docs] async def names(cli, *channels):
"""Send NAMES command, see source"""
tmp = list(channels)
msglist = []
while len(tmp) > 0:
msglist.append(tmp.pop())
if len(",".join(msglist)) > 490:
tmp.append(msglist.pop())
await cli.send("NAMES %s" % (",".join(msglist)))
msglist = []
if len(msglist) > 0:
await cli.send("NAMES %s" % (",".join(msglist)))
[docs] async def channel_list(cli):
"""Send the LIST command"""
await cli.send("LIST")
[docs] async def kick(cli, handle, channel, reason=""):
"""KICK `handle` from `channel` with optional `reason`"""
await cli.send("KICK %s %s %s" % (channel, handle, reason))
[docs] async def mode(cli, channel, mode, options=None):
"""Send the MODE command to the given `channel` with optional `options`"""
cmd = "MODE %s %s" % (channel, mode)
if options:
cmd += " %s" % (options)
await cli.send(cmd)
[docs] async def ctcp(cli, handle, cmd, msg=""):
"""Send CTCP command using PRIVMSG where `handle` is the user, `cmd` is the command and the optional `msg`"""
await cli.send("PRIVMSG", handle, "\x01%s %s\x01" % (cmd, msg))
[docs] async def ctcp_reply(cli, handle, cmd, msg=""):
"""Forewards ctcp_reply command to notice function with added CTCP formatting"""
await cli.notice(str(handle), "\x01%s %s\x01" % (cmd.upper(), msg))
[docs] async def msgrandom(cli, choices, dest, user=None):
"""Function for random responses"""
o = "%s: " % user if user else ""
o += random.choice(choices)
await cli.msg(dest, o)
[docs] async def ns(cli, *args):
"""Messages NickServ with space joined *args"""
await cli.msg("NickServ", " ".join(args))
[docs] async def cs(cli, *args):
"""Messages ChanServ with space joined *args"""
await cli.msg("ChanServ", " ".join(args))
[docs] async def identify(cli, passwd, authuser="NickServ"):
"""Send IDENTIFY command with `passwd`, default `authuser` is NickServ"""
await cli.msg(authuser, "IDENTIFY %s" % passwd)
[docs] async def quit(cli, msg='gone'):
"""Send quit command with optional message, defaults to 'gone'"""
await cli.send("QUIT :%s" % msg)
cli._end = 1
[docs] async def user(cli, username, realname=None):
"""Sends USER command with given `username`, uses realname instead if given"""
await cli.send("USER", realname or username, cli.host, cli.host,
realname or username)
def _makeMsgRandomFunc(choices):
"""Function factory given `choices`"""
async def func(cli, dest, user=None):
cli.msgrandom(cli, choices, dest, user)
return func
HelperClient.msgYes = _makeMsgRandomFunc(['yes', 'alright', 'ok'])
HelperClient.msgOK = _makeMsgRandomFunc(['ok', 'done'])
HelperClient.msgNo = _makeMsgRandomFunc(['no', 'no-way'])
_simple = (
'join',
'part',
'nick',
'notice',
'invite',
)
def _addsimple():
def simplecmd(cmd_name):
def f(cli, *args):
cli.send(cmd_name, *args)
return f
m = HelperClient
for t in _simple:
setattr(m, t, simplecmd(t.upper()))
_addsimple()
def _addNumerics():
from ._oyoyo import ircevents
def numericcmd(cmd_num, cmd_name):
def f(cli, *args):
cli.send(cmd_num, *args)
return f
m = HelperClient
for num, name in ircevents.numeric_events.items():
setattr(m, name, numericcmd(num, name))
_addNumerics()


Created by @hunglin
in my humble opinion
force your system (and team) to more modulized
unit test, integration test, performance test
no more method wrapper or AOP
micro services encourages CQRS by nature
engineering is all about tradeoffs
we cannot change the speed of light (at least not yet)
make all method call a micro service


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• Contact Lambda School •
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I'd like to start a project
I'd like to ask a question
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|
| | GalaxyBuilder (ContentManager content, int size, int seed=0) |
| | Initializes a new instance of the T:MidnightBlue.GalaxyBuilder class. Does not actually generate the galaxy - that's done via Generate() More...
|
| |
| List< StarSystem > | Generate (int maxDistance) |
| | Generates the galaxy with a specified max distance between stars. Takes a while so should be called only once per gameplay session. More...
|
| |
|
| Rectangle | Bounds [get] |
| | Gets the bounding rectangle of the galaxy. More...
|
| |
| int | Size [get] |
| | Gets the number of star systems the galaxy has. More...
|
| |
| bool | Done [get] |
| | Gets a value indicating whether this T:MidnightBlue.GalaxyBuilder is done generating. More...
|
| |
| List< StarSystem > | StarSystems [get] |
| | Gets the star system list. More...
|
| |
§ GalaxyBuilder()
| MidnightBlue.GalaxyBuilder.GalaxyBuilder |
( |
ContentManager |
content, |
|
|
int |
size, |
|
|
int |
seed = 0 |
|
) |
| |
|
inline |
Initializes a new instance of the T:MidnightBlue.GalaxyBuilder class. Does not actually generate the galaxy - that's done via Generate()
- Parameters
-
| content | Content manager to use for loading resources. |
| size | Number of star systems to generate. |
| seed | Seed to use for generation. |
§ Generate()
| List<StarSystem> MidnightBlue.GalaxyBuilder.Generate |
( |
int |
maxDistance | ) |
|
|
inline |
Generates the galaxy with a specified max distance between stars. Takes a while so should be called only once per gameplay session.
- Parameters
-
| maxDistance | Max distance between generated star systems. |
§ Bounds
| Rectangle MidnightBlue.GalaxyBuilder.Bounds |
|
get |
Gets the bounding rectangle of the galaxy.
The bounds.
§ Done
| bool MidnightBlue.GalaxyBuilder.Done |
|
get |
Gets a value indicating whether this T:MidnightBlue.GalaxyBuilder is done generating.
true
if done; otherwise, false
.
§ Size
| int MidnightBlue.GalaxyBuilder.Size |
|
get |
Gets the number of star systems the galaxy has.
The number of star systems.
§ StarSystems
| List<StarSystem> MidnightBlue.GalaxyBuilder.StarSystems |
|
get |
Gets the star system list.
The star systems.
The documentation for this class was generated from the following file:
- Shared/src/Game/Environment/GalaxyBuilder.cs


Introduction
Payment methods represent the different payment options available to customers during the checkout process on an e-commerce store. Spree supports many types of payment methods, including both online and offline options. This guide describes how to add payment methods to your Spree store.
Terminology
Let’s begin by explaining the difference between a Payment Gateway and a Merchant Account.
Payment Gateway - A payment gateway is a service that authorizes credit card payments, processes them securely, and deposits the funds into your bank account. A payment gateway performs the same functions as a credit card swipe machine at a restaurant or retail store, it just performs these functions for purchases made online instead of in person.
Merchant Account - A merchant account is a type of bank account that allows you to accept credit card payments online. If you have a retail business and already accept credit card payments, then more than likely you have a merchant account. When you start to sell products online, you may need to call your bank and ask that they set you up with an Internet merchant account.
Evaluating Payment Gateways
When researching payment gateway options, you may find that they offer an all-in-one solution that includes both the gateway and the merchant account. This is just something to be aware of and to evaluate if it makes sense for your store. Payment gateways also charge a fee for their services. Here are a few of the fees you might come across when evaluating providers:
Setup Fee - A one-time charge to set up your payment gateway account.
Recurring Fixed Monthly Fees - A fixed monthly fee that a payment gateway provider charges for access to their services and reports. Some gateways break this charge down further into a monthly Gateway Fee and a Statement Fee.
Transaction Fees - A charge for each purchase made on your e-commerce store. The pricing structure for these fees differ per gateway. A popular structure is to charge a percentage of the purchase price plus a flat fee. For example, 2.9% of the purchase price plus $0.30 per transaction.
Add a Payment Method
Spree enables you to utilize the payment method of choice for your e-commerce store. We have two preferred payment gateway partners and a long list of payment gateways that are supported by default in Spree. We also enable you to add a custom payment gateway, as well as offer offline payment options such as checks and purchase orders.
Add a Supported Gateway
Read through the following explanatory text to add one of the supported payment gateways as a payment method on your store.
Select Provider
To configure one of the supported payment gateways, you must first install the Spree_Gateway extension on your store. More than likely, you will want to ask someone from your technical team to do this. Once this extension has been installed, you can configure one of the supported gateways in the Admin Interface by clicking the “Configuration” tab and then clicking the “New Payment Method” button.
If you installed the Spree_Gateway extension, you will see a long list of gateways in the “Provider” drop down menu. Select the one that you would like to add.
Display
Select whether you want the payment method to appear on the Frontend or the Backend of your store, or both.
The Frontend is the customer-facing area of your store, meaning that the payment method will display as a payment option to your customers during the checkout step.
The Backend is the Admin Interface for your store. Site administrators typically select this option when they want to make a payment option available to their internal staff but not to their end customers. For example, you might want to offer purchase orders as a payment option to customers on a one-off basis, but only if they contact one of your customer service representatives via email or telephone.
Auto Capture
There is a possibility to set Auto Capture feature for your payment methods. Once you set Auto Capture on Yes option for a particular payment method, all the payments will be captured automatically. At this point all the payments will be captured without Admin’s direct interference. However, Use App Default (false) is default setting for newly created Payment Method.
Active
Select “Yes” if you want the payment method to be active on your store. Select “No” if you want to create the payment method, but not present it on your store until a later point.
Name
Give the payment method a name. The value you enter will appear on the customer-facing area of your store, on the Payment page as seen below:
Description
Add a description for the payment method. This field is optional and is only displayed to internal users and not to customers.
Click “Update” once you’ve input the desired settings for your new payment method.
Add a Non-Supported Gateway
It is possible to add a new payment gateway that is not included on the supported by default gateway list, but doing so is outside the scope of this tutorial. Please consult with your development team if you need this functionality.
Edit a Payment Method
To edit the configuration settings for an existing payment method, go to the Admin Interface, click the “Configuration” tab, and then click the “Payment Methods” link. Find the payment method that you would like to edit on the list that appears. Click the “Edit” icon next to the payment method to edit its settings.
Make the desired changes to the payment method settings and then click “Update” to save them.
Processing Payments
Processing orders and the payments associated with them are covered in detail in the Processing Orders guide.


CanvasOpen ( n, w, h, viewport_x, viewport_y, viewport_w, viewport_h,
mode)
Opens a canvas for drawing.
n - the canvas index; there is a max of 8 ( 0 to 7 )
w, h - the total size of the drawing surface
viewport_x, viewport_y - where on the window to draw the canvas
viewport_w, viewport_h - size of the canvas area to be shown
Mode 0 - Solid
Mode 1 - Transparent
Example:
CanvasOpen ( 0, 640,
480, 0, 0, 640,
480, 1 )


Stetson faces Ohio State
by EndPlayCOLUMBUS, Ohio - Stetson (2-1) vs. Ohio State (3-0)
Value City Arena, Columbus, Ohio; Monday, 8:30 p.m. EST
BOTTOM LINE: Stetson faces Ohio State in an early season matchup. Ohio State won at home against Villanova 76-51 on Wednesday, while Stetson fell 79-55 at Purdue Fort Wayne on Saturday.
STEPPING UP: Ohio State's Kaleb Wesson has averaged 10.3 points, 11.7 rebounds and two blocks while Kyle Young has put up 10.7 points and eight rebounds. For the Hatters, Rob Perry has averaged 17 points and 5.3 rebounds while Christiaan Jones has put up 12.3 points, 5.3 rebounds and two steals.POTENT PERRY: Perry has connected on 53.8 percent of the 13 3-pointers he's attempted and has gone 7 for 13 over the last three games. He's also made 75 percent of his foul shots this season.
STREAK STATS: Ohio State has scored 72 points per game and allowed 54.3 over a three-game home winning streak.
STOUT STATE: Ohio State has held opposing teams to 32.2 percent shooting from the field this year, the lowest percentage among all Division I teams.
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For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
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This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com